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[UdemyCourseDownloader] A Beginner's Guide to Machine Learning (in Python)

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1.5 GB
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Files
43
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at 4:04pm GMT+1
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acf14ed0fd1a4b370da46f0573859db642599362
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Description
Description

In this course, you will learn the basics of Machine Learning and Data Mining; almost everything you need to get started. You will understand what Big Data is and what Data Science and Data Analytics is. You will learn algorithms such as Linear Regression, Logistic Regression, Support Vector Machine, K-Nearest Neighbor, Decision Trees, and Neural Networks. You'll also understand how to combine algorithms into ensembles. Preprocessing data will be taught and you will understand how to clean your data, transform it, how to handle categorical features, and how to handle unbalanced data. By the end of this course, you will understand the ABCs of Data Mining and be able to implement what you've learnt on your own, more specifically, be able to implement what you've learnt on Python. There is no ideal student as there are no prior requirements needed - everybody is welcome!!

File list
  • [UdemyCourseDownloader] A Beginner's Guide to Machine Learning (in Python)
  • 01 - Introduction and Course Scope - A Beginner's Guide to Machine Learning (in Python).mp4 12.7 MB
  • 02 - Big Data - A Beginner's Guide to Machine Learning (in Python).mp4 20.5 MB
  • 03 - Data Science - A Beginner's Guide to Machine Learning (in Python).mp4 4.9 MB
  • 04 - Data Analytics - A Beginner's Guide to Machine Learning (in Python).mp4 23.6 MB
  • 05 - Machine Learning and Data Mining - A Beginner's Guide to Machine Learning (in Python).mp4 47 MB
  • 06 - Machine Learning in This Course - A Beginner's Guide to Machine Learning (in Python).mp4 7.3 MB
  • 07 - Exploratory Data Analysis - A Beginner's Guide to Machine Learning (in Python).mp4 48.2 MB
  • 08 - Introduction to Python - A Beginner's Guide to Machine Learning (in Python).mp4 27.2 MB
  • 09 - Descriptive Statistics in Python - A Beginner's Guide to Machine Learning (in Python).mp4 61.6 MB
  • 10 - Dataset Resources - A Beginner's Guide to Machine Learning (in Python).mp4 40.4 MB
  • 11 - Linear Regression - A Beginner's Guide to Machine Learning (in Python).mp4 14 MB
  • 12 - Support Vector Machine - A Beginner's Guide to Machine Learning (in Python).mp4 7.9 MB
  • 13 - Support Vector Machine in Python - A Beginner's Guide to Machine Learning (in Python).mp4 40 MB
  • 14 - K-Nearest Neighbor - A Beginner's Guide to Machine Learning (in Python).mp4 7 MB
  • 15 - K-Nearest Neighbor in Python - A Beginner's Guide to Machine Learning (in Python).mp4 12.8 MB
  • 16 - Decision Trees - A Beginner's Guide to Machine Learning (in Python).mp4 9.8 MB
  • 17 - Decision Trees in Python - A Beginner's Guide to Machine Learning (in Python).mp4 11.6 MB
  • 18 - Logistic Regression - A Beginner's Guide to Machine Learning (in Python).mp4 11.8 MB
  • 19 - Neural Networks - A Beginner's Guide to Machine Learning (in Python).mp4 38.4 MB
  • 20 - Neural Networks in Python - A Beginner's Guide to Machine Learning (in Python).mp4 7.9 MB
  • 21 - Ensemble Learning - A Beginner's Guide to Machine Learning (in Python).mp4 11.1 MB
  • 22 - Ensemble Learning in Python - A Beginner's Guide to Machine Learning (in Python).mp4 66 MB
  • 23 - Regression Problem in Python - A Beginner's Guide to Machine Learning (in Python).mp4 77.4 MB
  • 24 - Performance Metrics - A Beginner's Guide to Machine Learning (in Python).mp4 29.8 MB
  • 25 - Overfitting vs Underfitting - A Beginner's Guide to Machine Learning (in Python).mp4 12.6 MB
  • 26 - Data Cleaning - A Beginner's Guide to Machine Learning (in Python).mp4 10.2 MB
  • 27 - Data Transformation - A Beginner's Guide to Machine Learning (in Python).mp4 23.2 MB
  • 28 - Data Transformation in Python - A Beginner's Guide to Machine Learning (in Python).mp4 17.3 MB
  • 29 - Categorical Features - A Beginner's Guide to Machine Learning (in Python).mp4 8.8 MB
  • 30 - Unbalanced Data - A Beginner's Guide to Machine Learning (in Python).mp4 19.4 MB
  • 31 - Validation Methods - A Beginner's Guide to Machine Learning (in Python).mp4 30.1 MB
  • 32 - The Holdout Method and Confusion Matrix in Python - A Beginner's Guide to Machine Learning (in Python).mp4 58.3 MB
  • 33 - The K Fold Method and Cleaning the Data in Python - A Beginner's Guide to Machine Learning (in Python).mp4 146.7 MB
  • 34 - Classifying New Observations - A Beginner's Guide to Machine Learning (in Python).mp4 42.6 MB
  • 35 - Feature Selection - A Beginner's Guide to Machine Learning (in Python).mp4 25.1 MB
  • 36 - Feature Selection in Python - A Beginner's Guide to Machine Learning (in Python).mp4 88 MB
  • 37 - Dimensionality Reduction - A Beginner's Guide to Machine Learning (in Python).mp4 20.7 MB
  • 38 - Principle Component Analysis in Python - A Beginner's Guide to Machine Learning (in Python).mp4 54.1 MB
  • 39 - Hyperparameter Optimization - A Beginner's Guide to Machine Learning (in Python).mp4 47 MB
  • 40 - Grid Search #1 in Python - A Beginner's Guide to Machine Learning (in Python).mp4 45.1 MB
  • 41 - Grid Search #2 in Python - A Beginner's Guide to Machine Learning (in Python).mp4 56.4 MB
  • 42 - Grid Search #3 in Python - A Beginner's Guide to Machine Learning (in Python).mp4 155.9 MB
  • Udemy Course downloader.txt 94 B

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